Overview

Dataset statistics

Number of variables10
Number of observations104
Missing cells4
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory84.2 B

Variable types

Categorical3
Text4
Numeric3

Dataset

Description이천시 내 실내공기질 관리법 적용대상 다중이용시설 현황으로 시군명,시설명, 소재지도로명주소, 연면적, 위경도 등을 제공합니다
Author경기도 이천시
URLhttps://www.data.go.kr/data/15037756/fileData.do

Alerts

시군명 has constant value ""Constant
기준일자 has constant value ""Constant
전화번호 has 4 (3.8%) missing valuesMissing

Reproduction

Analysis started2024-03-15 01:02:00.467666
Analysis finished2024-03-15 01:02:05.350364
Duration4.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
이천시
104 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이천시
2nd row이천시
3rd row이천시
4th row이천시
5th row이천시

Common Values

ValueCountFrequency (%)
이천시 104
100.0%

Length

2024-03-15T10:02:05.569099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:02:05.909563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이천시 104
100.0%

시설구분
Categorical

Distinct13
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size960.0 B
어린이집
41 
의료기관
15 
실내주차장
9 
노인요양시설
7 
학원
7 
Other values (8)
25 

Length

Max length13
Median length4
Mean length4.9326923
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row노인요양시설
2nd row노인요양시설
3rd row노인요양시설
4th row노인요양시설
5th row노인요양시설

Common Values

ValueCountFrequency (%)
어린이집 41
39.4%
의료기관 15
 
14.4%
실내주차장 9
 
8.7%
노인요양시설 7
 
6.7%
학원 7
 
6.7%
인터넷컴퓨터게임시설제공업 6
 
5.8%
목욕장업 5
 
4.8%
어린이집(국공립) 4
 
3.8%
대규모점포 3
 
2.9%
도서관 2
 
1.9%
Other values (3) 5
 
4.8%

Length

2024-03-15T10:02:06.268464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 41
38.7%
의료기관 15
 
14.2%
실내주차장 9
 
8.5%
노인요양시설 7
 
6.6%
학원 7
 
6.6%
인터넷컴퓨터게임시설제공업 6
 
5.7%
목욕장업 5
 
4.7%
어린이집(국공립 4
 
3.8%
대규모점포 3
 
2.8%
도서관 2
 
1.9%
Other values (4) 7
 
6.6%

시설명
Text

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-03-15T10:02:07.382010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.2980769
Min length4

Characters and Unicode

Total characters863
Distinct characters214
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)94.2%

Sample

1st row한나요양원
2nd row다사랑요양원
3rd row참사랑전문요양원
4th row한나그린힐
5th row삼육요양원
ValueCountFrequency (%)
이천점 6
 
4.5%
이천창전점 3
 
2.2%
cgv이천 2
 
1.5%
롯데쇼핑㈜ 2
 
1.5%
이천 2
 
1.5%
pc방 2
 
1.5%
산부인과의원 2
 
1.5%
롯데마트 2
 
1.5%
롯데프리미엄아울렛 2
 
1.5%
이천비상에듀독학기숙학원 1
 
0.7%
Other values (110) 110
82.1%
2024-03-15T10:02:08.780799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 85
 
9.8%
린 47
 
5.4%
어 46
 
5.3%
집 46
 
5.3%
원 32
 
3.7%
천 32
 
3.7%
30
 
3.5%
아 17
 
2.0%
리 15
 
1.7%
병 12
 
1.4%
Other values (204) 501
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 791
91.7%
Uppercase Letter 33
 
3.8%
Space Separator 30
 
3.5%
Other Symbol 4
 
0.5%
Lowercase Letter 3
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 85
 
10.7%
린 47
 
5.9%
어 46
 
5.8%
집 46
 
5.8%
원 32
 
4.0%
천 32
 
4.0%
아 17
 
2.1%
리 15
 
1.9%
병 12
 
1.5%
양 12
 
1.5%
Other values (180) 447
56.5%
Uppercase Letter
ValueCountFrequency (%)
C 7
21.2%
P 4
12.1%
G 3
9.1%
T 2
 
6.1%
V 2
 
6.1%
S 2
 
6.1%
E 2
 
6.1%
U 2
 
6.1%
A 1
 
3.0%
N 1
 
3.0%
Other values (7) 7
21.2%
Lowercase Letter
ValueCountFrequency (%)
n 1
33.3%
e 1
33.3%
i 1
33.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 795
92.1%
Latin 36
 
4.2%
Common 32
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 85
 
10.7%
린 47
 
5.9%
어 46
 
5.8%
집 46
 
5.8%
원 32
 
4.0%
천 32
 
4.0%
아 17
 
2.1%
리 15
 
1.9%
병 12
 
1.5%
양 12
 
1.5%
Other values (181) 451
56.7%
Latin
ValueCountFrequency (%)
C 7
19.4%
P 4
 
11.1%
G 3
 
8.3%
T 2
 
5.6%
V 2
 
5.6%
S 2
 
5.6%
E 2
 
5.6%
U 2
 
5.6%
n 1
 
2.8%
A 1
 
2.8%
Other values (10) 10
27.8%
Common
ValueCountFrequency (%)
30
93.8%
( 1
 
3.1%
) 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 791
91.7%
ASCII 68
 
7.9%
None 4
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 85
 
10.7%
린 47
 
5.9%
어 46
 
5.8%
집 46
 
5.8%
원 32
 
4.0%
천 32
 
4.0%
아 17
 
2.1%
리 15
 
1.9%
병 12
 
1.5%
양 12
 
1.5%
Other values (180) 447
56.5%
ASCII
ValueCountFrequency (%)
30
44.1%
C 7
 
10.3%
P 4
 
5.9%
G 3
 
4.4%
T 2
 
2.9%
V 2
 
2.9%
S 2
 
2.9%
E 2
 
2.9%
U 2
 
2.9%
n 1
 
1.5%
Other values (13) 13
19.1%
None
ValueCountFrequency (%)
㈜ 4
100.0%

소재지도로명주소
Text

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-03-15T10:02:09.859368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26.5
Mean length22.307692
Min length14

Characters and Unicode

Total characters2320
Distinct characters94
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)90.4%

Sample

1st row경기도 이천시 대월면 대평로214번길 10-15
2nd row경기도 이천시 설성면 설성로 377번길 273-129
3rd row경기도 이천시 신둔면 황무로338번길 197
4th row경기도 이천시 대월면 대평로214번길 10-11
5th row경기도 이천시 대월면 대산로 91번길 159-53
ValueCountFrequency (%)
경기도 104
21.1%
이천시 104
21.1%
부발읍 17
 
3.5%
호법면 10
 
2.0%
대월면 9
 
1.8%
이섭대천로 7
 
1.4%
경충대로 7
 
1.4%
마장면 6
 
1.2%
중리천로 6
 
1.2%
신둔면 5
 
1.0%
Other values (167) 217
44.1%
2024-03-15T10:02:11.472416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
389
16.8%
천 125
 
5.4%
경 123
 
5.3%
이 119
 
5.1%
도 105
 
4.5%
로 104
 
4.5%
시 104
 
4.5%
기 104
 
4.5%
1 101
 
4.4%
2 81
 
3.5%
Other values (84) 965
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1350
58.2%
Decimal Number 525
 
22.6%
Space Separator 389
 
16.8%
Dash Punctuation 41
 
1.8%
Uppercase Letter 6
 
0.3%
Other Punctuation 5
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 125
 
9.3%
경 123
 
9.1%
이 119
 
8.8%
도 105
 
7.8%
로 104
 
7.7%
시 104
 
7.7%
기 104
 
7.7%
길 56
 
4.1%
번 56
 
4.1%
대 52
 
3.9%
Other values (68) 402
29.8%
Decimal Number
ValueCountFrequency (%)
1 101
19.2%
2 81
15.4%
3 57
10.9%
4 50
9.5%
7 45
8.6%
5 43
8.2%
8 42
8.0%
0 39
 
7.4%
6 37
 
7.0%
9 30
 
5.7%
Space Separator
ValueCountFrequency (%)
389
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1350
58.2%
Common 964
41.6%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 125
 
9.3%
경 123
 
9.1%
이 119
 
8.8%
도 105
 
7.8%
로 104
 
7.7%
시 104
 
7.7%
기 104
 
7.7%
길 56
 
4.1%
번 56
 
4.1%
대 52
 
3.9%
Other values (68) 402
29.8%
Common
ValueCountFrequency (%)
389
40.4%
1 101
 
10.5%
2 81
 
8.4%
3 57
 
5.9%
4 50
 
5.2%
7 45
 
4.7%
5 43
 
4.5%
8 42
 
4.4%
- 41
 
4.3%
0 39
 
4.0%
Other values (5) 76
 
7.9%
Latin
ValueCountFrequency (%)
C 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1350
58.2%
ASCII 970
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
389
40.1%
1 101
 
10.4%
2 81
 
8.4%
3 57
 
5.9%
4 50
 
5.2%
7 45
 
4.6%
5 43
 
4.4%
8 42
 
4.3%
- 41
 
4.2%
0 39
 
4.0%
Other values (6) 82
 
8.5%
Hangul
ValueCountFrequency (%)
천 125
 
9.3%
경 123
 
9.1%
이 119
 
8.8%
도 105
 
7.8%
로 104
 
7.7%
시 104
 
7.7%
기 104
 
7.7%
길 56
 
4.1%
번 56
 
4.1%
대 52
 
3.9%
Other values (68) 402
29.8%

소재지지번주소
Text

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-03-15T10:02:12.838509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.067308
Min length15

Characters and Unicode

Total characters1983
Distinct characters83
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)86.5%

Sample

1st row경기도 이천시 대월면 초지리 474-4
2nd row경기도 이천시 설성면 암산리 405-3
3rd row경기도 이천시 신둔면 용면리 171
4th row경기도 이천시 대월면 초지리 474-8
5th row경기도 이천시 대월면 대대리 503-4
ValueCountFrequency (%)
경기도 104
21.7%
이천시 104
21.7%
부발읍 18
 
3.8%
중리동 11
 
2.3%
호법면 9
 
1.9%
대월면 9
 
1.9%
마장면 8
 
1.7%
증포동 7
 
1.5%
신하리 7
 
1.5%
창전동 7
 
1.5%
Other values (139) 195
40.7%
2024-03-15T10:02:14.678508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
375
18.9%
천 109
 
5.5%
이 105
 
5.3%
경 104
 
5.2%
기 104
 
5.2%
도 104
 
5.2%
시 104
 
5.2%
- 83
 
4.2%
1 75
 
3.8%
리 75
 
3.8%
Other values (73) 745
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1132
57.1%
Decimal Number 393
 
19.8%
Space Separator 375
 
18.9%
Dash Punctuation 83
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 109
 
9.6%
이 105
 
9.3%
경 104
 
9.2%
기 104
 
9.2%
도 104
 
9.2%
시 104
 
9.2%
리 75
 
6.6%
동 45
 
4.0%
면 43
 
3.8%
읍 22
 
1.9%
Other values (61) 317
28.0%
Decimal Number
ValueCountFrequency (%)
1 75
19.1%
4 63
16.0%
2 48
12.2%
6 43
10.9%
3 39
9.9%
5 36
9.2%
7 27
 
6.9%
0 25
 
6.4%
8 20
 
5.1%
9 17
 
4.3%
Space Separator
ValueCountFrequency (%)
375
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1132
57.1%
Common 851
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 109
 
9.6%
이 105
 
9.3%
경 104
 
9.2%
기 104
 
9.2%
도 104
 
9.2%
시 104
 
9.2%
리 75
 
6.6%
동 45
 
4.0%
면 43
 
3.8%
읍 22
 
1.9%
Other values (61) 317
28.0%
Common
ValueCountFrequency (%)
375
44.1%
- 83
 
9.8%
1 75
 
8.8%
4 63
 
7.4%
2 48
 
5.6%
6 43
 
5.1%
3 39
 
4.6%
5 36
 
4.2%
7 27
 
3.2%
0 25
 
2.9%
Other values (2) 37
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1132
57.1%
ASCII 851
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
375
44.1%
- 83
 
9.8%
1 75
 
8.8%
4 63
 
7.4%
2 48
 
5.6%
6 43
 
5.1%
3 39
 
4.6%
5 36
 
4.2%
7 27
 
3.2%
0 25
 
2.9%
Other values (2) 37
 
4.3%
Hangul
ValueCountFrequency (%)
천 109
 
9.6%
이 105
 
9.3%
경 104
 
9.2%
기 104
 
9.2%
도 104
 
9.2%
시 104
 
9.2%
리 75
 
6.6%
동 45
 
4.0%
면 43
 
3.8%
읍 22
 
1.9%
Other values (61) 317
28.0%

전화번호
Text

MISSING 

Distinct97
Distinct (%)97.0%
Missing4
Missing (%)3.8%
Memory size960.0 B
2024-03-15T10:02:15.655435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.01
Min length9

Characters and Unicode

Total characters1201
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)94.0%

Sample

1st row031-632-1357
2nd row031-643-6776
3rd row031-638-0650
4th row031-631-1911
5th row031-633-2036
ValueCountFrequency (%)
031-637-7400 2
 
2.0%
031-631-0034 2
 
2.0%
031-635-5302 2
 
2.0%
031-637-8844 1
 
1.0%
031-635-5015 1
 
1.0%
031-636-0369 1
 
1.0%
031-631-9020 1
 
1.0%
031-637-7831 1
 
1.0%
031-634-2677 1
 
1.0%
031-637-2334 1
 
1.0%
Other values (87) 87
87.0%
2024-03-15T10:02:17.010386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 232
19.3%
- 198
16.5%
0 184
15.3%
1 153
12.7%
6 128
10.7%
4 60
 
5.0%
7 57
 
4.7%
5 54
 
4.5%
8 54
 
4.5%
2 48
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1003
83.5%
Dash Punctuation 198
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 232
23.1%
0 184
18.3%
1 153
15.3%
6 128
12.8%
4 60
 
6.0%
7 57
 
5.7%
5 54
 
5.4%
8 54
 
5.4%
2 48
 
4.8%
9 33
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1201
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 232
19.3%
- 198
16.5%
0 184
15.3%
1 153
12.7%
6 128
10.7%
4 60
 
5.0%
7 57
 
4.7%
5 54
 
4.5%
8 54
 
4.5%
2 48
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1201
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 232
19.3%
- 198
16.5%
0 184
15.3%
1 153
12.7%
6 128
10.7%
4 60
 
5.0%
7 57
 
4.7%
5 54
 
4.5%
8 54
 
4.5%
2 48
 
4.0%

연면적(m2)
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8267.6265
Minimum316.18
Maximum183750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-15T10:02:17.423965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum316.18
5-th percentile432.798
Q1595.775
median1430.735
Q33426.13
95-th percentile15014.671
Maximum183750
Range183433.82
Interquartile range (IQR)2830.355

Descriptive statistics

Standard deviation29531.699
Coefficient of variation (CV)3.5719682
Kurtosis27.47035
Mean8267.6265
Median Absolute Deviation (MAD)932.945
Skewness5.2749888
Sum859833.16
Variance8.7212127 × 108
MonotonicityNot monotonic
2024-03-15T10:02:17.885215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
167858.44 2
 
1.9%
2276.36 1
 
1.0%
642.34 1
 
1.0%
28382.0 1
 
1.0%
7277.13 1
 
1.0%
2631.16 1
 
1.0%
960.0 1
 
1.0%
1567.0 1
 
1.0%
482.0 1
 
1.0%
742.18 1
 
1.0%
Other values (93) 93
89.4%
ValueCountFrequency (%)
316.18 1
1.0%
331.0 1
1.0%
346.06 1
1.0%
349.56 1
1.0%
431.1 1
1.0%
431.88 1
1.0%
438.0 1
1.0%
442.59 1
1.0%
448.45 1
1.0%
466.0 1
1.0%
ValueCountFrequency (%)
183750.0 1
1.0%
167858.44 2
1.9%
67834.0 1
1.0%
28382.0 1
1.0%
15361.47 1
1.0%
13049.48 1
1.0%
11092.92 1
1.0%
9900.06 1
1.0%
9147.71 1
1.0%
8202.46 1
1.0%

위도
Real number (ℝ)

Distinct84
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.254165
Minimum37.115666
Maximum37.315386
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-15T10:02:18.318228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.115666
5-th percentile37.153237
Q137.243361
median37.263338
Q337.282941
95-th percentile37.304781
Maximum37.315386
Range0.19971924
Interquartile range (IQR)0.03958026

Descriptive statistics

Standard deviation0.04550739
Coefficient of variation (CV)0.0012215383
Kurtosis1.949246
Mean37.254165
Median Absolute Deviation (MAD)0.01977824
Skewness-1.4882668
Sum3874.4331
Variance0.0020709225
MonotonicityNot monotonic
2024-03-15T10:02:18.799120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.30528977 4
 
3.8%
37.17803698 4
 
3.8%
37.25189132 4
 
3.8%
37.25045811 4
 
3.8%
37.24222688 3
 
2.9%
37.27977433 2
 
1.9%
37.27964545 2
 
1.9%
37.27521797 2
 
1.9%
37.2761807 2
 
1.9%
37.24518396 2
 
1.9%
Other values (74) 75
72.1%
ValueCountFrequency (%)
37.11566634 1
 
1.0%
37.11589115 1
 
1.0%
37.11957146 1
 
1.0%
37.1237392 1
 
1.0%
37.12624387 1
 
1.0%
37.15134813 1
 
1.0%
37.16394036 1
 
1.0%
37.17803698 4
3.8%
37.18443047 1
 
1.0%
37.18758127 1
 
1.0%
ValueCountFrequency (%)
37.31538558 1
 
1.0%
37.30985348 1
 
1.0%
37.30528977 4
3.8%
37.30189513 1
 
1.0%
37.30155134 1
 
1.0%
37.2984477 1
 
1.0%
37.29809968 1
 
1.0%
37.29705294 1
 
1.0%
37.29625164 1
 
1.0%
37.29586809 1
 
1.0%

경도
Real number (ℝ)

Distinct84
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.45507
Minimum127.35341
Maximum127.62958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-15T10:02:19.228226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.35341
5-th percentile127.37869
Q1127.43392
median127.45112
Q3127.4772
95-th percentile127.50251
Maximum127.62958
Range0.2761688
Interquartile range (IQR)0.0432802

Descriptive statistics

Standard deviation0.050144085
Coefficient of variation (CV)0.00039342557
Kurtosis3.177082
Mean127.45507
Median Absolute Deviation (MAD)0.02583295
Skewness0.97668176
Sum13255.328
Variance0.0025144292
MonotonicityNot monotonic
2024-03-15T10:02:19.672374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4652189 4
 
3.8%
127.4769535 4
 
3.8%
127.4913515 4
 
3.8%
127.3918964 4
 
3.8%
127.4000261 3
 
2.9%
127.4449888 2
 
1.9%
127.4441586 2
 
1.9%
127.4482417 2
 
1.9%
127.4472011 2
 
1.9%
127.4216698 2
 
1.9%
Other values (74) 75
72.1%
ValueCountFrequency (%)
127.3534086 1
1.0%
127.3560961 1
1.0%
127.3564861 1
1.0%
127.3746877 1
1.0%
127.3777948 1
1.0%
127.3786155 1
1.0%
127.3791322 1
1.0%
127.3816217 1
1.0%
127.3881311 1
1.0%
127.3891393 1
1.0%
ValueCountFrequency (%)
127.6295774 1
1.0%
127.6289037 1
1.0%
127.6176735 1
1.0%
127.6121134 1
1.0%
127.529612 1
1.0%
127.5025241 1
1.0%
127.5024427 1
1.0%
127.4994406 1
1.0%
127.4993025 1
1.0%
127.4984415 1
1.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
2023-11-30
104 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-30
2nd row2023-11-30
3rd row2023-11-30
4th row2023-11-30
5th row2023-11-30

Common Values

ValueCountFrequency (%)
2023-11-30 104
100.0%

Length

2024-03-15T10:02:20.084031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:02:20.673666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-30 104
100.0%

Interactions

2024-03-15T10:02:03.412212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:02:01.316779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:02:02.218738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:02:03.755208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:02:01.662530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:02:02.583393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:02:04.064189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:02:01.957586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:02:02.905961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:02:20.841191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분소재지도로명주소소재지지번주소전화번호연면적(m2)위도경도
시설구분1.0000.0000.0000.0000.5110.4620.551
소재지도로명주소0.0001.0001.0001.0000.0001.0001.000
소재지지번주소0.0001.0001.0001.0000.0001.0001.000
전화번호0.0001.0001.0001.0001.0001.0001.000
연면적(m2)0.5110.0000.0001.0001.0000.0000.214
위도0.4621.0001.0001.0000.0001.0000.809
경도0.5511.0001.0001.0000.2140.8091.000
2024-03-15T10:02:21.031448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적(m2)위도경도시설구분
연면적(m2)1.000-0.144-0.2430.309
위도-0.1441.000-0.2480.205
경도-0.243-0.2481.0000.278
시설구분0.3090.2050.2781.000

Missing values

2024-03-15T10:02:04.497719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:02:05.126620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시군명시설구분시설명소재지도로명주소소재지지번주소전화번호연면적(m2)위도경도기준일자
0이천시노인요양시설한나요양원경기도 이천시 대월면 대평로214번길 10-15경기도 이천시 대월면 초지리 474-4031-632-13572276.3637.222256127.4984412023-11-30
1이천시노인요양시설다사랑요양원경기도 이천시 설성면 설성로 377번길 273-129경기도 이천시 설성면 암산리 405-3031-643-67762269.037.16394127.5296122023-11-30
2이천시노인요양시설참사랑전문요양원경기도 이천시 신둔면 황무로338번길 197경기도 이천시 신둔면 용면리 171031-638-06506148.9537.297053127.3816222023-11-30
3이천시노인요양시설한나그린힐경기도 이천시 대월면 대평로214번길 10-11경기도 이천시 대월면 초지리 474-8031-631-19112189.8737.222604127.4994412023-11-30
4이천시노인요양시설삼육요양원경기도 이천시 대월면 대산로 91번길 159-53경기도 이천시 대월면 대대리 503-4031-633-20362213.737.226516127.4664872023-11-30
5이천시노인요양시설천상의집경기도 이천시 설성면 진상미로924번길 121-36경기도 이천시 설성면 상봉리 648-4031-642-16011615.4537.151348127.4993022023-11-30
6이천시노인요양시설우수요양원경기도 이천시 모가면 대월로261번길 30-6경기도 이천시 모가면 소사리 7-6031-634-77731349.4937.18443127.4889492023-11-30
7이천시대규모점포㈜이마트이천점경기도 이천시 이섭대천로 1440-50경기도 이천시 증포동 47-4031-644-810015361.4737.293983127.4591212023-11-30
8이천시대규모점포롯데프리미엄아울렛 이천점경기도 이천시 호법면 프리미엄아울렛로 177-74경기도 이천시 호법면 단천리 864031-887-4061183750.037.242227127.4000262023-11-30
9이천시대규모점포롯데쇼핑㈜ 롯데마트 이천점경기도 이천시 구만리로 191경기도 이천시 안흥동 474031-631-0034167858.4437.274278127.4544472023-11-30
시군명시설구분시설명소재지도로명주소소재지지번주소전화번호연면적(m2)위도경도기준일자
94이천시인터넷컴퓨터게임시설제공업크라우드PC 이천창전점경기도 이천시 서희로60번길 5, 2층경기도 이천시 창전동 158-160507-1353-5635316.1837.280906127.4433112023-11-30
95이천시인터넷컴퓨터게임시설제공업레벨업 PC카페 이천창전점경기도 이천시 이섭대천로 1271, 지하1층경기도 이천시 창전동 437-9<NA>331.037.283819127.4469292023-11-30
96이천시인터넷컴퓨터게임시설제공업펀잇(FUNEAT) 이천점경기도 이천시 영창로 188, 2층경기도 이천시 창전동 158-2<NA>448.4537.281127127.4434432023-11-30
97이천시학원강남대성기숙학원경기도 이천시 마장면 서이천로337번길 55경기도 이천시 마장면 표교리 529-3031-638-66888202.4637.258201127.3891392023-11-30
98이천시학원이천청솔기숙학원경기도 이천시 신둔면 황무로338번길 317경기도 이천시 신둔면 용면리 72-7031-637-22823288.8837.29567127.3746882023-11-30
99이천시학원강남하이퍼기숙학원경기도 이천시 마장면 이장로 115-10경기도 이천시 마장면 이치리 160-5031-636-81037612.6637.26387127.3786152023-11-30
100이천시학원토즈스터디기숙학원경기도 이천시 호법면 이섭대천로 415-20경기도 이천시 호법면 후안리 532-16031-633-20202726.8237.220419127.4171252023-11-30
101이천시학원강남대성기숙의대관학원경기도 이천시 호법면 이섭대천로527번길 25경기도 이천시 호법면 후안리 240-1031-8010-001011092.9237.222174127.4243252023-11-30
102이천시학원이천비상에듀독학기숙학원경기도 이천시 마장면 서이천로337번길 64경기도 이천시 마장면 표교리 491-23031-633-70905127.3337.258086127.3906062023-11-30
103이천시학원이천아이나인재수기숙학원경기도 이천시 설성면 노성로259번길 39-17경기도 이천시 설성면 대죽리 121-81533-19269147.7137.126244127.4829392023-11-30